Ruining Wang

481 citations
22 papers · 315 · h-index 9

Impact in

Papers in

    • Immune Cell Function and Interaction 6
    • Immune Response and Inflammation 3
    • Inflammasome and immune disorders 3
    • Advanced biosensing and bioanalysis techniques 2

Ruining Wang

20 papers receiving 313 citations

Peers

Ruining Wang
Comparison fields: 5 of 95
  • Immunology 80
  • Automotive Engineering 39
  • Health, Toxicology and Mutagenesis 36
  • Infectious Diseases 37
  • Cancer Research 30
Replace Xiu Zhang with:
Xiu Zhang China
Qian Lu China
Yanqing Wang China
Ulrike P. Kappes United States
Xiaona Sun China
Raúl Barrera Rodríguez Mexico
Bingfeng Chu China
Ruining Wang relative to Xiu Zhang China Xiu Zhang's profile →
Citations per field
00.5×4.6×
Xiu Zhang · 1×
Citations per year

Countries citing papers authored by Ruining Wang

Since Specialization
Citations

This map shows the geographic impact of Ruining Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ruining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruining Wang more than expected).

Fields of papers citing papers by Ruining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruining Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ruining Wang. The network helps show where Ruining Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruining Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruining Wang Line = papers co-authored together Ruining Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201863
3 201840
4 201735
5 201819
6 202415
7 202012
8 201911
9 201711
10 20227
11 20176
12 20186
13 20225
14 20244
15 20233
16 20213
17 20253
18 20202
19 20251
20 20221

About Ruining Wang

Ruining Wang is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Oncology, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), MicroRNA in disease regulation (3 papers), Tuberculosis Research and Epidemiology (3 papers), Immune Response and Inflammation (3 papers), Inflammasome and immune disorders (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Immunology (80 citations), Automotive Engineering (39 citations), Health, Toxicology and Mutagenesis (36 citations), Infectious Diseases (37 citations) and Cancer Research (30 citations). Ruining Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Li Ma, Jiahui Yang, Qian Wen, Wenjing Xiong, Jinli Wang, Juyao Dong, Fuyuhiko Tamanoi, Cai M. Roberts, James Finlay and Jeffrey I. Zink. Their work appears in journals such as International Immunopharmacology, Microbiology Spectrum, Gene, Scientific Reports and Frontiers in Veterinary Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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